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SUMMARY:Taming Black Swans: Long-tailed distributions in the natural and e
 ngineered world - Allen  Downey
DTSTART;TZID=America/Chicago:20230713T155000
DTEND;TZID=America/Chicago:20230713T162000
DTSTAMP:20261007T033442Z
UID:pretalx-2023-RVLFPB@cfp.scipy.org
DESCRIPTION:Long-tailed distributions are common in natural and engineered
  systems\; as a result\, we encounter extreme values more often than we wo
 uld expect from a short-tailed distribution. If we are not prepared for th
 ese "black swans"\, they can be disastrous.\n\nBut we have statistical too
 ls for identifying long-tailed distributions\, estimating their parameters
 \, and making better predictions about rare events.\n\nIn this talk\, I pr
 esent evidence of long-tailed distributions in a variety of datasets -- in
 cluding earthquakes\, asteroids\, and stock market crashes -- discuss stat
 istical methods for dealing with them\, and show implementations using sci
 entific Python libraries.
LOCATION:Amphitheater 204
URL:https://cfp.scipy.org/2023/talk/RVLFPB/
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